README.md

Project Setup Instructions

Workflows

Update config.yaml Update params.yaml Update entity Update the configuration manager in src config update the conponents update the pipeline update the main.py update the app.py

Setting Up the Virtual Environment

To set up a Python virtual environment, follow these steps. This environment will help you manage the project's dependencies separately from your global Python setup.

1. Create the Virtual Environment:

   Open your terminal and run the following command to create a new virtual environment named env:

   python -m venv env

2. Activate environment:

   .\env\Scripts\activate

3. Install Required packages

   pip install -r requirements.txt

AWS-CICD-Deployment-with-Github-Actions

1. Login to AWS console.

2. Create IAM user for deployment

#with specific access

1. EC2 access : It is virtual machine

2. ECR: Elastic Container registry to save your docker image in aws


#Description: About the deployment

1. Build docker image of the source code

2. Push your docker image to ECR

3. Launch Your EC2 

4. Pull Your image from ECR in EC2

5. Lauch your docker image in EC2

#Policy:

1. AmazonEC2ContainerRegistryFullAccess

2. AmazonEC2FullAccess

3. Create ECR repo to store/save docker image

- Save the URI: 175098134469.dkr.ecr.ap-southeast-1.amazonaws.com/text-s

4. Create EC2 machine (Ubuntu)

5. Open EC2 and Install docker in EC2 Machine:

#optinal

sudo apt-get update -y

sudo apt-get upgrade

#required

curl -fsSL https://get.docker.com -o get-docker.sh

sudo sh get-docker.sh

sudo usermod -aG docker ubuntu

newgrp docker

6. Configure EC2 as self-hosted runner:

setting>actions>runner>new self hosted runner> choose os> then run command one by one

7. Setup github secrets:

AWS_ACCESS_KEY_ID=

AWS_SECRET_ACCESS_KEY=

AWS_REGION = us-east-1

AWS_ECR_LOGIN_URI = demo>>  566373416292.dkr.ecr.ap-south-1.amazonaws.com

ECR_REPOSITORY_NAME = simple-app